Connects AI agents to Recruitee data, enabling advanced search, filtering, and reporting on recruitment information.
The Recruitee server implements the Model Context Protocol (MCP) to provide AI agents with structured access to recruitment data from Recruitee. It goes beyond basic data retrieval, focusing on tasks where LLMs excel, such as summarizing, searching, and filtering. By exposing a set of tools and prompt templates, it allows AI agents to interact with candidate data, recruitment activities, and statistics, facilitating sophisticated, AI-powered insights into recruitment processes.
Key Features
01Recruitment Summary Reports
02Exposes Prompt Templates for consistent LLM-based summaries
03Advanced Candidate Search & Filtering
04Recruitment Statistics & Metrics
050 GitHub stars
06General Search for candidates, recruitments, or talent pools
Use Cases
01Find candidates with specific skills or rejection reasons.
02Generate recruitment activity summaries and stage breakdowns.
03Calculate average time to hire or expected salaries for roles.
